swift15: fix fleet-probes vision heredoc (quoted 'PY' ate $B); probe header

scripts/fleet-probes-swift15.sh

@@ -20,8 +20,8 @@ body = json.dumps({"model": "frank-primary", "max_tokens": 64, "temperature": 0,
     "messages": [{"role": "user", "content": [
         {"type": "image_url", "image_url": {"url": "data:image/png;base64," + b64}},
         {"type": "text", "text": "What color is this image? Answer with one word."}]}]}).encode()
-r = urllib.request.Request(B + "/chat/completions", data=body,
-                           headers={"Content-Type": "application/json"})
+r = urllib.request.Request("http://localhost:7770/v1" + "/chat/completions",
+                           data=body, headers={"Content-Type": "application/json"})
 d = json.load(urllib.request.urlopen(r, timeout=300))
 m = d["choices"][0]["message"]
 print("VISION ANSWER:", ((m.get("content") or "")[:80]).replace("\n", " "))
@@ -35,7 +35,7 @@ curl -s -m 120 $B/chat/completions -H 'Content-Type: application/json' -d '{
  "parameters":{"type":"object","properties":{"expr":{"type":"string"}},"required":["expr"]}}}]}' \
  | python3 -c 'import json,sys; d=json.load(sys.stdin); m=d["choices"][0]["message"]; print("TOOL_CALLS:", m.get("tool_calls"))'
 
-echo "== reasoning_effort fold (xhigh/medium/low ok, high -> 500)"
+echo "== reasoning_effort fold (xhigh/medium/low/high all 200 on froggeric v22.5)"
 for lvl in xhigh medium low high; do
   code=$(curl -s -o /dev/null -w "%{http_code}" -m 120 $B/chat/completions \
     -H 'Content-Type: application/json' \